Ae Kb Discovery

Knowledge Base Discovery

Cross-skill collaboration

When remaining work is outside this skill's scope, or a necessary prerequisite needs another capability, follow the collaboration protocol [blocked]. Choose from the skills available in this run by capability, preserve verified context, and continue the remaining task. Reuse this protocol if already loaded.

Treat knowledge bases as an optional source of internal facts and business context. Keep the user's original goal unchanged; knowledge base retrieval is a supporting workflow, not the task itself.

This skill decides whether to use a knowledge base and which knowledge base is worth searching. The retrieval procedure itself — inspecting the index, grep, reading sections, and optional LLM synthesis — lives in the ae-kb skill (references/query-workflow.md). Discover here, then hand off to ae-kb to execute.

Decide Whether to Use This Skill

Use this skill when:

• The user explicitly asks to search a knowledge base, internal documentation, or company materials.
• The task requires organization-specific facts or context, such as product design and rules, events, campaign or operations calendars, release and iteration records, workflows, policies, or terminology.
• Internal context is needed to explain data analysis results, anomalies, or trends and form evidence-backed conclusions.
• The knowledge base context currently available does not cover the question, and discovering other accessible sources has clear value.
• ae-analysis read data.routing.knowledge_base: auto from ae-cli config show before selecting the project-scoped query route, and a knowledge base could materially improve the answer or asset selection.

Do not use this skill when:

• The user explicitly asks not to use knowledge bases.
• The task only requires querying real-time state or performing an operation and does not need document context or enabled project-semantic KB asset routing.
• General knowledge is sufficient for a reliable answer and internal evidence would not materially improve it.

Discovery Workflow

1. Get the List of Accessible Knowledge Bases

First, get the lightweight list of knowledge bases accessible to the current user:

ae-cli kb +list

Use the exact scope and knowledge base name returned by the command, together with available metadata such as description, tags, language, and bindings. A binding identifies an associated context through targetType, targetId, and optional targetName. Do not guess a name, scope, or binding. Treat metadata returned by +list only as input for candidate selection, not as evidence from knowledge base content.

If +list is unavailable or fails, do not guess which knowledge bases exist. If the user explicitly requested a knowledge base search, explain that discovery cannot currently be completed. Otherwise, return to the original task and reassess the capabilities currently available.

2. Rank Candidate Knowledge Bases

Rank candidates in this order:

1. Prefer a knowledge base explicitly named by the user. Use the exact name and scope returned by +list, regardless of whether it has a matching binding.
2. Prefer candidates whose bindings exactly match the current session context. Match targetType: project against the current analysis project ID, targetType: space against the current community space ID, and targetType: dwSpace against the current digital workspace code.
3. For the remaining candidates, compare the user's request with the knowledge base name, description, and tags. Use language only as a preference between candidates with similar relevance; language alone does not establish relevance.

Compare targetId with the corresponding current ID or code first. Use targetName only as a secondary signal when an ID or code is unavailable; do not replace a conflicting ID match with a name match. A candidate with no bindings or no current-context match remains eligible for semantic ranking. A binding to another project or space lowers implicit priority but does not exclude the candidate, and an explicit user choice still takes precedence.

Select one preferred knowledge base by default. When several candidates are highly relevant, retain no more than three and try them one at a time in priority order. Do not read the indexes of all candidates in advance. A binding, name, description, tag, or language match only indicates that a knowledge base is worth searching; it does not prove a content match, grant access, or count as knowledge base evidence.

3. Hand Off to Retrieval

Once a preferred knowledge base is selected, hand off to the ae-kb skill and follow its references/query-workflow.md for the entire retrieval procedure — including when +ask is appropriate.

If the retrieved source pages will guide project-scoped business data analysis, also read and follow the ae-kb skill's references/analysis-workflow.md before running data queries. It converts exact saved-asset identity, definitions, parameters, time rules, conflicts, and decision boundaries into an execution contract; do not jump directly from a KB hit to an ad-hoc or SQL reconstruction.

Assess Coverage

• Full coverage: The page content read supports the key conclusions required for the information request or analysis.
• Partial coverage: The page content read provides only background, definitions, or partially relevant facts and cannot independently support the required conclusions.
• No coverage: No suitable candidate knowledge base exists, or +grep and +read return no content that can support the conclusions.

A candidate returned by +list, navigation returned by +index, a successful command, a tool call, or a metadata match does not count as a knowledge base hit. Only relevant page content that has actually been read can serve as knowledge base evidence.

Use Knowledge Base Evidence in Analysis

For project-scoped business data analysis, the analysis-workflow.md handoff above is mandatory after relevant source pages have been read. In particular, a KB statement that current values require live execution means attempting the matched saved asset first. If that attempt cannot produce a usable result, the workflow permits a traceable fallback to ordinary analysis.

When using internal context to explain data analysis results, anomalies, or trends:

1. First state what the analysis itself demonstrates, including the metric change, time range, affected entity, and magnitude.
2. Search using the affected entity, metric, time range, campaign or event name, product area, and release or version name.
3. Verify that the retrieved evidence:
   • Applies to the same entity, product area, or business scope.
   • Overlaps with the time range covered by the analysis.
   • Records an event, rule, release, or change that actually took effect.
   • Uses a version and effective date that remained valid during the analysis period.
4. Distinguish planned activities from completed events. A calendar or roadmap does not prove that an activity or release occurred unless the retrieved content confirms execution.
5. Combine analytical facts with retrieved internal evidence and state directly what the evidence supports. Do not list possible causes that lack evidence.
6. Use causal language such as "caused" or "led to" only when the available evidence establishes causality. Otherwise, say that the evidence supports a factor as a key explanation or that the factor is consistent with the observed change.
7. If the evidence is insufficient, state clearly that the cause cannot be determined from the available evidence. Do not fill evidence gaps with speculation.
8. When appropriate, organize the final answer in this order:
   • Conclusion.
   • Analytical evidence.
   • Knowledge base evidence and relevant page paths.
   • Necessary limitations of the evidence.

Handle Partial or No Coverage

When knowledge base evidence provides only partial coverage, is entirely absent, or retrieval fails:

1. Stop repeating searches against the same candidate knowledge base.
2. If ranked candidates remain, switch to the next candidate. Search no more than three knowledge bases in one task.
3. When all candidates provide no coverage, return to the user's original request instead of remaining in the knowledge base retrieval subtask.
4. Reassess the capabilities currently available and choose the next path that best serves the original task. Do not hard-code a fixed fallback.
5. Retain verified background evidence when useful, but never attribute conclusions drawn from other sources to a knowledge base.
6. Do not report an unsuccessful knowledge base search unless the retrieval failure itself affects the user's decision.

Knowledge base information must not replace required business operations. If the original task also requires real-time data or an action, complete that part through the appropriate available capability.

Safety Boundaries

• Limit knowledge base access to the read-only retrieval primitives (+list, +index, +grep, +read, and +ask when the question requires multi-page synthesis or multi-hop reasoning). Do not create, upload, compile, or delete knowledge bases.
• Respect existing scope, tenant, and membership permissions. Do not attempt to bypass an inaccessible knowledge base.
• Do not expose internal root paths, access tokens, or raw permission metadata.
• For protected knowledge bases, provide only summaries and synthesized conclusions allowed by the current permissions. Do not export complete source text or extensive verbatim excerpts.